Uses of Interface
org.apache.commons.statistics.descriptive.StatisticResult
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Packages that use StatisticResult Package Description org.apache.commons.statistics.descriptive Implementations of univariate statistics. -
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Uses of StatisticResult in org.apache.commons.statistics.descriptive
Classes in org.apache.commons.statistics.descriptive with type parameters of type StatisticResult Modifier and Type Interface Description interface
StatisticAccumulator<T extends StatisticResult>
A mutable result container that accumulates aStatisticResult
.Subinterfaces of StatisticResult in org.apache.commons.statistics.descriptive Modifier and Type Interface Description (package private) interface
BigIntegerStatisticResult
Represents theBigInteger
result of a statistic computed over a set of values.interface
DoubleStatistic
Represents a state object for computing a statistic overdouble
valued input(s).interface
IntStatistic
Represents a state object for computing a statistic overint
valued input(s).(package private) interface
IntStatisticResult
Represents theint
result of a statistic computed over a set of values.interface
LongStatistic
Represents a state object for computing a statistic overlong
valued input(s).(package private) interface
LongStatisticResult
Represents thelong
result of a statistic computed over a set of values.Classes in org.apache.commons.statistics.descriptive that implement StatisticResult Modifier and Type Class Description class
GeometricMean
Computes the geometric mean of the available values.class
IntMax
Returns the maximum of the available values.class
IntMean
Computes the arithmetic mean of the available values.class
IntMin
Returns the minimum of the available values.class
IntStandardDeviation
Computes the standard deviation of the available values.class
IntSum
Returns the sum of the available values.class
IntSumOfSquares
Returns the sum of the squares of the available values.class
IntVariance
Computes the variance of the available values.class
Kurtosis
Computes the kurtosis of the available values.class
LongMax
Returns the maximum of the available values.class
LongMean
Computes the arithmetic mean of the available values.class
LongMin
Returns the minimum of the available values.class
LongStandardDeviation
Computes the standard deviation of the available values.class
LongSum
Returns the sum of the available values.class
LongSumOfSquares
Returns the sum of the squares of the available values.class
LongVariance
Computes the variance of the available values.class
Max
Returns the maximum of the available values.class
Mean
Computes the arithmetic mean of the available values.class
Min
Returns the minimum of the available values.class
Product
Returns the product of the available values.class
Skewness
Computes the skewness of the available values.class
StandardDeviation
Computes the standard deviation of the available values.class
Sum
Returns the sum of the available values.class
SumOfLogs
Returns the sum of thenatural logarithm
of available values.class
SumOfSquares
Returns the sum of the squares of the available values.class
Variance
Computes the variance of the available values.Methods in org.apache.commons.statistics.descriptive with type parameters of type StatisticResult Modifier and Type Method Description (package private) static <T extends StatisticResult & StatisticAccumulator<T>>
voidStatistics. checkCombineCompatible(T a, T b)
Check left-hand side argumenta
isnull
or else the right-hand side argumentb
must also be non-null
so the statistics can be combined.(package private) static <T extends StatisticResult & StatisticAccumulator<T>>
voidStatistics. combine(T a, T b)
If the left-hand side argumenta
is non-null
, combine it with the right-hand side argumentb
.Methods in org.apache.commons.statistics.descriptive that return StatisticResult Modifier and Type Method Description private StatisticResult
DoubleStatistics. getGeometricMean()
Gets the geometric mean.private StatisticResult
IntStatistics. getGeometricMean()
Gets the geometric mean.private StatisticResult
LongStatistics. getGeometricMean()
Gets the geometric mean.private StatisticResult
DoubleStatistics. getKurtosis()
Gets the kurtosis.private StatisticResult
IntStatistics. getKurtosis()
Gets the kurtosis.private StatisticResult
LongStatistics. getKurtosis()
Gets the kurtosis.private StatisticResult
DoubleStatistics. getMean()
Gets the mean.private StatisticResult
IntStatistics. getMean()
Gets the mean.private StatisticResult
LongStatistics. getMean()
Gets the mean.StatisticResult
DoubleStatistics. getResult(Statistic statistic)
Gets a supplier for the value of the specifiedstatistic
.StatisticResult
IntStatistics. getResult(Statistic statistic)
Gets a supplier for the value of the specifiedstatistic
.StatisticResult
LongStatistics. getResult(Statistic statistic)
Gets a supplier for the value of the specifiedstatistic
.(package private) static StatisticResult
Statistics. getResultAsBigIntegerOrNull(StatisticResult s)
Gets the statistic result using theBigInteger
value.(package private) static StatisticResult
Statistics. getResultAsDoubleOrNull(StatisticResult s)
Gets the statistic result using thedouble
value.(package private) static StatisticResult
Statistics. getResultAsIntOrNull(StatisticResult s)
Gets the statistic result using theint
value.(package private) static StatisticResult
Statistics. getResultAsLongOrNull(StatisticResult s)
Gets the statistic result using thelong
value.private StatisticResult
DoubleStatistics. getSkewness()
Gets the skewness.private StatisticResult
IntStatistics. getSkewness()
Gets the skewness.private StatisticResult
LongStatistics. getSkewness()
Gets the skewness.private StatisticResult
DoubleStatistics. getStandardDeviation()
Gets the standard deviation.private StatisticResult
IntStatistics. getStandardDeviation()
Gets the standard deviation.private StatisticResult
LongStatistics. getStandardDeviation()
Gets the standard deviation.private StatisticResult
DoubleStatistics. getVariance()
Gets the variance.private StatisticResult
IntStatistics. getVariance()
Gets the variance.private StatisticResult
LongStatistics. getVariance()
Gets the variance.private StatisticResult
IntStatistics. getVarianceOrStd(boolean std)
Gets the variance or standard deviation.private StatisticResult
LongStatistics. getVarianceOrStd(boolean std)
Gets the variance or standard deviation.Methods in org.apache.commons.statistics.descriptive with parameters of type StatisticResult Modifier and Type Method Description (package private) static StatisticResult
Statistics. getResultAsBigIntegerOrNull(StatisticResult s)
Gets the statistic result using theBigInteger
value.(package private) static StatisticResult
Statistics. getResultAsDoubleOrNull(StatisticResult s)
Gets the statistic result using thedouble
value.(package private) static StatisticResult
Statistics. getResultAsIntOrNull(StatisticResult s)
Gets the statistic result using theint
value.(package private) static StatisticResult
Statistics. getResultAsLongOrNull(StatisticResult s)
Gets the statistic result using thelong
value.
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